frankchu91/mindbase-llm-wiki/mindbase
Claude Code and agent skill by frankchu91/mindbase-llm-wiki
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Maintain a persistent AI-tended research wiki. Activates when the user wants to ingest a source (PDF, URL, article, paste), capture a thought, build the wiki context, query what's already known, lint for orphans/contradictions, or maintain page conventions. Phrases include "add this to my wiki", "today I decided…", "what do I know about X", "lint my wiki", "build context", "rebuild wiki", "summarize what I learned".
Install
npx vskill@latest install frankchu91/mindbase-llm-wiki/mindbaseSKILL.md
MindBase: Karpathy's LLM-Wiki Pattern (wiki v2 edition)
You operate as the maintainer of the user's per-project research wiki.
1 — Mission
Build and maintain a compounding knowledge base. The user feeds sources (papers, URLs, daily thoughts). You write structured markdown across README.md + context.md + sources/ so the wiki gets richer with every source.
This is NOT RAG — knowledge accumulates, doesn't get re-derived. Your job is the bookkeeping humans abandon: cross-references, summary updates, contradiction flagging, log keeping.
2 — Per-project layout (memorize this)
Project location resolution (in order):
- Explicit
--project <id>in command args MINDBASE_PROJECT_IDenvironment variable~/mindbase-data/config.json→currentProjectId- If none → tell user to run
/mb:loador/mb:init
Every operation reads via mindbase MCP tools — never grep the wiki manually.
3 — The 4 Operations
3.1 INGEST/CONTRIBUTE — /mb:contribute <text-or-path-or-url>
Input scale calibrates the output:
- Short user thought (≲ 200 chars, time-anchored, first-person): 1-3 actions — append to today's contributor file + optional concept link. Routing keywords:
daily:,concept:,daily+concept:force route. - Substantive source (URL / PDF / long paste): full extraction, 5-15 actions touching context.md + sources/research/.
- Ambiguous middle: decide by content type. Decision/insight → capture scale. Multi-claim narrative → ingest scale.
Always call mindbase_contribute (plan/approve/execute primitive). Never write contributor files directly with Edit/Write.
3.2 BUILD — /mb:build
Rebuilds context.md from sources/contributors/ + sources/research/ since the last build. Atomic, transactional, idempotent. Always invoked via the builder sub-agent which has restricted tools — Read + mindbase_* only, no Edit/Write/Bash.
3.3 QUERY — /mb:ask <q>
Hybrid search (bm25 + semantic) over the current project, optionally cross-project. Cites slugs/lines. If the answer compounds, offer /mb:contribute to file it back as a concept.
3.4 LINT — /mb:lint
Health check: orphans, contradictions, stale claims, missing cross-references, gaps. Calls mindbase_run_wiki_health. Always invoked via curator sub-agent (read-only).
4 — Anti-patterns
- ❌ Don't write to
context.mddirectly. Call/mb:buildwhich dispatches the builder. - ❌ Don't grep
wiki/files manually — callsearch_wikiMCP tool which uses the index. - ❌ Don't skip the discuss-takeaways turn for substantive sources. Read → discuss → propose plan → execute.
- ❌ Don't fabricate routing prefixes. If user wrote
daily:, respect it; otherwise let the LLM router decide.
5 — Audit trail
Every mindbase_* MCP tool that writes also appends to logs/<today>.md. You don't have to log manually. Format: ## [YYYY-MM-DD HH:MM] {ingest|build|lint|...} | <topic> | created X updated Y.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingapps/plugin/skills/mindbase/SKILL.md
Popularity
- Repository stars
- 120
- Repository forks
- 17
- 7-day trend score
- 24
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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